DStudy: DStudy: the program presents the reliability coefficient and...
In CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset
DStudy R Documentation
DStudy: the program presents the reliability coefficient and the SEM for different numbers of assessments per type.
Both the reliability coefficient and the SEM are presented in graphs for differing numbers of assessments,
given insight in the impact on the reliability if more or less assessments per type were required or advised.
Description
DStudy: the program presents the reliability coefficient and the SEM for different numbers of assessments per type.
Both the reliability coefficient and the SEM are presented in graphs for differing numbers of assessments,
given insight in the impact on the reliability if more or less assessments per type were required or advised.
Usage
DStudy(mydata, maxNrAssessments = 60)
Arguments
mydata
A dataframe containing columns ID, Type, Score (numeric)
maxNrAssessments
The maximum (Int) number of assessments per type on with the D study is executed
Value
A list containing 2 plots: reliability (plotRel) and Standard Error of Measurement SEM (plotSEM)
Examples
plots <- DStudy(mydata, maxNrAssessments = 10)
CompositeReliability documentation built on Aug. 21, 2023, 5:08 p.m.
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| DStudy | R Documentation |
DStudy: the program presents the reliability coefficient and the SEM for different numbers of assessments per type. Both the reliability coefficient and the SEM are presented in graphs for differing numbers of assessments, given insight in the impact on the reliability if more or less assessments per type were required or advised.
Description
DStudy: the program presents the reliability coefficient and the SEM for different numbers of assessments per type. Both the reliability coefficient and the SEM are presented in graphs for differing numbers of assessments, given insight in the impact on the reliability if more or less assessments per type were required or advised.
Usage
DStudy(mydata, maxNrAssessments = 60)
Arguments
mydata |
A dataframe containing columns ID, Type, Score (numeric) |
maxNrAssessments |
The maximum (Int) number of assessments per type on with the D study is executed |
Value
A list containing 2 plots: reliability (plotRel) and Standard Error of Measurement SEM (plotSEM)
Examples
plots <- DStudy(mydata, maxNrAssessments = 10)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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